Assessment of cracks on concrete bridges using image processing supported by laser scanning survey

By J. Valença, I. Puente, Eduardo Júlio, H. González-Jorge, P. Arias-Sánchez. 2017

188 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Geology

View Paper: https://www.semanticscholar.org/paper/a41d93f451d0fb4982aa00c5231e2f086cd5fdcd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. J. Ou
2. Sung-Han Sim
3. Eleni N. Chatzi
4. B. Han
5. Xun Yu

Citations in the corpus

• Recent progress and future trends on damage identification methods for bridge structures (2019, methodology): “Valenca et al.(70) proposed an automated crack detection method for concrete bridges based on image processing and laser scanning; terrestrial laser scanning technology is utilized to capture the geometric information of the bridge, which is used to correct images collected from the bridge; the meth”